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Optimal management of MicroGrid using Bacterial Foraging Algorithm

机译:利用细菌觅食算法优化MicroGrid管理

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This paper focused on optimal operating strategy and cost optimization scheme for a MicroGrid by using Bacterial Foraging Algorithm. Prior to the optimization of the microgrid itself, the system model components from some real manufactural data are constructed. The proposed cost function takes into consideration the costs of the emissions NOx, SO2, and CO2 as well as the operation and maintenance costs. The battery storage is used for storing excess energy. The optimization is aimed at minimizing the cost function of the system while constraining it to meet the customer demand and safety of the system.
机译:本文重点介绍了利用细菌觅食算法的微电网优化运营策略和成本优化方案。在优化微电网本身之前,先从一些实际的制造数据中构建系统模型组件。拟议的成本函数考虑了NOx,SO2和CO2排放的成本以及运营和维护成本。电池存储器用于存储多余的能量。优化的目的在于最小化系统的成本函数,同时限制其满足客户需求和系统安全性。

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